34 search results - page 1 / 7 » Distributed Optimization and Statistical Learning via the Al... |
FTML
2011
12 years 4 months ago
2011
CORR
2010
Springer
13 years 3 months ago
2010
Springer
Gaussian graphical models are of great interest in statistical learning. Because the conditional independencies between different nodes correspond to zero entries in the inverse c...
ICML
2003
IEEE
14 years 5 months ago
2003
IEEE
When the goal is to achieve the best correct classification rate, cross entropy and mean squared error are typical cost functions used to optimize classifier performance. However,...
CORR
2011
Springer
12 years 8 months ago
2011
Springer
Abstract—Coping with outliers contaminating dynamical processes is of major importance in various applications because mismatches from nominal models are not uncommon in practice...
ICML
2001
IEEE
14 years 5 months ago
2001
IEEE
Direct policy search is a practical way to solve reinforcement learning problems involving continuous state and action spaces. The goal becomes finding policy parameters that maxi...